IP | Country | PORT | ADDED |
---|---|---|---|
50.217.226.41 | us | 80 | 14 minutes ago |
209.97.150.167 | us | 3128 | 14 minutes ago |
50.174.7.162 | us | 80 | 14 minutes ago |
50.169.37.50 | us | 80 | 14 minutes ago |
190.108.84.168 | pe | 4145 | 14 minutes ago |
50.174.7.159 | us | 80 | 14 minutes ago |
72.10.160.91 | ca | 29605 | 14 minutes ago |
50.171.122.27 | us | 80 | 14 minutes ago |
218.252.231.17 | hk | 80 | 14 minutes ago |
50.220.168.134 | us | 80 | 14 minutes ago |
50.223.246.238 | us | 80 | 14 minutes ago |
185.132.242.212 | ru | 8083 | 14 minutes ago |
159.203.61.169 | ca | 8080 | 14 minutes ago |
50.223.246.239 | us | 80 | 14 minutes ago |
47.243.114.192 | hk | 8180 | 14 minutes ago |
50.169.222.243 | us | 80 | 14 minutes ago |
72.10.160.174 | ca | 1871 | 14 minutes ago |
50.174.7.152 | us | 80 | 14 minutes ago |
50.174.7.157 | us | 80 | 14 minutes ago |
50.174.7.154 | us | 80 | 14 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
Quick and easy integration.
Full control and management of proxies via API.
Extensive documentation for a quick start.
Compatible with any programming language that supports HTTP requests.
Ready to improve your product? Explore our API and start integrating today!
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A proxy can be used for anonymous web surfing. After all, the connection is made through an intermediate server. And all the sites visited by the user will see the IP address of the proxy server, not the user himself. It can also be used to access resources that are only available to the citizens of a particular country.
To parse all pages of a website in Python, you can use web scraping libraries such as requests for fetching HTML content and BeautifulSoup or lxml for parsing and extracting data. Additionally, you might need to manage crawling and handle the structure of the website.
Here's a basic example using requests and BeautifulSoup:
import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin, urlparse
def get_all_links(url):
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
# Extract all links on the page
links = [a['href'] for a in soup.find_all('a', href=True)]
return links
def parse_all_pages(base_url):
all_links = get_all_links(base_url)
all_pages_content = []
for link in all_links:
# Form the full URL for each link
full_url = urljoin(base_url, link)
# Ensure the link is within the same domain to avoid external links
if urlparse(full_url).netloc == urlparse(base_url).netloc:
# Get HTML content of the page
page_content = requests.get(full_url).text
all_pages_content.append({'url': full_url, 'content': page_content})
return all_pages_content
# Example usage
base_url = 'https://example.com'
all_pages_data = parse_all_pages(base_url)
# Now you have a list of dictionaries with data for each page
for page_data in all_pages_data:
print(f"URL: {page_data['url']}")
# Process HTML content of each page as needed
# For example, you can use BeautifulSoup for further data extraction
This example fetches all links from the initial page and then iterates through each link, fetching and storing the HTML content of the linked pages. Make sure to handle relative URLs and filter external links based on your requirements.
Building a chain of proxies in Selenium involves configuring a WebDriver with a Proxy object that represents a chain of proxies. Here's an example using Python with Selenium and the Chrome WebDriver:
from selenium import webdriver
from selenium.webdriver.common.proxy import Proxy, ProxyType
# Create a Proxy object for the first proxy in the chain
proxy1 = Proxy()
proxy1.http_proxy = "http://proxy1.example.com:8080"
proxy1.ssl_proxy = "http://proxy1.example.com:8080"
proxy1.proxy_type = ProxyType.MANUAL
# Create a Proxy object for the second proxy in the chain
proxy2 = Proxy()
proxy2.http_proxy = "http://proxy2.example.com:8080"
proxy2.ssl_proxy = "http://proxy2.example.com:8080"
proxy2.proxy_type = ProxyType.MANUAL
# Create a Proxy object for the final proxy in the chain
proxy3 = Proxy()
proxy3.http_proxy = "http://proxy3.example.com:8080"
proxy3.ssl_proxy = "http://proxy3.example.com:8080"
proxy3.proxy_type = ProxyType.MANUAL
# Create a chain of proxies
proxies_chain = f"{proxy1.proxy, proxy2.proxy, proxy3.proxy}"
# Set up ChromeOptions with the proxy chain
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument(f"--proxy-server={proxies_chain}")
# Create the WebDriver with ChromeOptions
driver = webdriver.Chrome(options=chrome_options)
# Now you can use the driver with the proxy chain for your automation tasks
driver.get("https://example.com")
# Close the browser window when done
driver.quit()
In this example:
Three Proxy objects (proxy1, proxy2, and proxy3) are created, each representing a different proxy in the chain. You need to replace the placeholder URLs (http://proxy1.example.com:8080, etc.) with the actual proxy server URLs.
The ProxyType.MANUAL option is used to indicate that the proxy settings are configured manually.
The proxies_chain variable is a comma-separated string representing the chain of proxies.
The --proxy-server option is added to ChromeOptions to specify the proxy chain.
A Chrome WebDriver instance is created with the configured ChromeOptions.
"Work via VPN" means to connect to a site, an application or a remote server via a VPN server. That is, through an "intermediary" that not only hides the real IP address, but also additionally encrypts the traffic so that it cannot be "read".
The easiest way is to try to open any site or application that requires an Internet connection. If the data download goes well, then the VPN is working properly. If there is a "No connection" error, then the VPN is not working properly for some reason.
What else…